A Novel Completion Method for Sparse Traffic Data Imputation
R Ouyang, Y Hu, H Wang, R Hu… - IEEE Intelligent …, 2025 - ieeexplore.ieee.org
Traffic data imputation is essential in smart cities and the Internet of Things (IoT). Tensor
completion is an efficient method for traffic data imputation. However, these methods …
completion is an efficient method for traffic data imputation. However, these methods …
ST-GIN: An uncertainty quantification approach in traffic data imputation with spatio-temporal graph attention and bidirectional recurrent united neural networks
Traffic data serves as a fundamental component in both research and applications within
intelligent transportation systems. However, real-world transportation data, collected from …
intelligent transportation systems. However, real-world transportation data, collected from …
[引用][C] 북극해교통량데이터와이차원종속트랜스포머기반의북극해의장기오염예측연구
김영휘， 심성현 - 대한산업공학회추계학술대회논문집, 2024 - dbpia.co.kr
30 4.98 0.922 5.12 0.920 4.92 0.917 5.60 0.914 5.07 0.911 180 5.24 0.917 5.48 0.916 5.88
0.897 5.58 0.918 5.93 0.911 360 5.39 0.916 5.65 0.921 6.09 0.907 5.51 0.920 6.11 0.910 …
0.897 5.58 0.918 5.93 0.911 360 5.39 0.916 5.65 0.921 6.09 0.907 5.51 0.920 6.11 0.910 …